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title: README
emoji: 📈
colorFrom: gray
colorTo: indigo
sdk: static
pinned: false
Hosting models and datasets for T-NER, which is a python tool for language model fine-tuning on named-entity-recognition (NER) implemented in pytorch, available via pip.
Install tner via pip,
pip install tner
and play with NER models.
from tner import TransformersNER
model = TransformersNER('tner/roberta-large-conll2003')
output = model.prediction(["Jacob Collier is a Grammy awarded artist from London"])
See more information bellow.
- - GitHub: https://github.com/asahi417/tner
- - Model List: https://github.com/asahi417/tner/blob/master/MODEL_CARD.md
- - Dataset List: https://github.com/asahi417/tner/blob/master/DATASET_CARD.md
- - Paper: T-NER (EACL 2021 demo), TweetNER7 (AACL 2022 long paper)
| Description | Link |
|---|---|
| Model Finetuning & Evaluation |  |
| Model Prediction | |
| Multilingual NER Workflow | |